手势交互界面主要包括笔划识别技术，手势笔划集设计和手势交互界面实现技术。
The gesture interface technology consists of gesture recognition, gesture design and implementation of gesture interface.
具体包括草图前处理、特征点的检测、笔划分段、图元识别、图元重构、图元规整、端点校正等内容。
The system integrates several process like sketch preprocessing, feature points detection, strokes fragment, primitives recognition, shape reconstruction, and primitives beautification.
在实现结构分析法识别手写汉字时，笔划抽取是关键所在。
In developing handprinted Chinese characters recognition system by the structural approach. the stroke extraction is all important problem.
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
构建出智能草图的技术体系，包括基于单笔划的自然手势界面，徒手草图输入，草图识别与基于草图的几何建模。
The technique system of intelligent sketching is presented, including the pen based natural gesture interface, free-hand sketching input, sketching recognition and sketch based solid modeling.
在实现结构分析法识别多字体印刷汉字时，笔划抽取是关键所在。
In developing the multi-fonts Chinese character recognition system by structural approach, the stroke extraction is an important problem.
给出了十码汉字编码法的识别码提取算法。在对汉字笔划分解的基础上，根据运用的字符特征给出了识别码的提取算法。
On the basis of resolving to Chinese character stroke, this thesis presents the abstraction algorithm which recognition code used according to the character characteristic.
以笔划为基元结合笔划的顺序来表示汉字的结构信息，在此基础上提出了一种手写汉字识别的匹配算法。
This paper takes stroke segment as pattern primitive to represent the structure information of Chinese character. On the basis, a new algorithm to recognize handwritten Chinese character is proposed.
本文提出一种识别在线手写汉字笔划的模糊属性自动机，为汉字识别打下了基础。
A fuzzy attributed automaton for on-Iine recognition of Chinese character strokes is proposed.
第三章中主要研究了一种弹性匹配算法，并将其用于单笔划图形的识别。
Chapter 3 studies a new elastic matching algorithm for on-line recognition.
第三章中主要研究了一种弹性匹配算法，并将其用于单笔划图形的识别。
Chapter 3 studies a new elastic matching algorithm for on-line recognition.
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